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Usage To Value Map

Community
gtmagents
usage-to-value-map

Method for translating product telemetry into ROI narratives and expansion triggers.

Overview

Publishergtmagents
Repositorygtm-agents
Skill nameusage-to-value-map
Stars
428
Forks
83
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by gtmagents on GitHub. Read the source before you install it.

Installation

Install the Usage To Value Map AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/gtmagents/gtm-agents/tree/main/plugins/b2b-saas/skills/usage-to-value-map
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/gtmagents/gtm-agents.git /tmp/gtm-agents
mkdir -p .claude/skills
cp -r /tmp/gtm-agents/plugins/b2b-saas/skills/usage-to-value-map .claude/skills/usage-to-value-map
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Usage To Value Map in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Usage To Value Map on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Usage To Value Map is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Usage-to-Value Map Skill

When to Use

  • Preparing exec readouts showing how product usage ties to business outcomes.
  • Prioritizing adoption plays based on feature depth, collaboration, or workflow coverage.
  • Equipping sales/CS with quantified value proof for renewal/expansion cycles.

Framework

  1. Telemetry Layer – identify key events, feature usage, seat adoption, and integration data.
  2. Value Drivers – map telemetry to business KPIs (time saved, revenue uplift, compliance risk).
  3. Benchmarking – compare against cohort medians, champions, or best-in-class customers.
  4. Signal→Play Mapping – tie usage patterns to recommended plays (exec briefing, enablement, upsell).
  5. Narrative Template – structure story: context → usage signal → value proof → action.

Templates

  • Usage-to-value canvas (signal, KPI, benchmark, recommended play).
  • Dashboard outline with spark lines + annotations for exec consumption.
  • Email/slide snippet for sharing value proof with stakeholders.

Tips

  • Blend quantitative telemetry with qualitative proof (quotes, case studies) for credibility.
  • Update benchmarks quarterly to reflect product releases and customer mix.
  • Pair with build-land-adopt-expand-plan and prepare-board-readout for consistent storytelling.

Frequently asked questions

What does the Usage To Value Map AI skill do?

Method for translating product telemetry into ROI narratives and expansion triggers.

Why use Usage To Value Map on TypingMind?

Because you install it once and use it with any model. Usage To Value Map is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Usage To Value Map in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gtmagents/gtm-agents/tree/main/plugins/b2b-saas/skills/usage-to-value-map. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Usage To Value Map?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Usage To Value Map?

As many as you like. As long as a model supports skills, you can use Usage To Value Map with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Usage To Value Map AI skill free?

Yes. It is published on GitHub by gtmagents under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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